h7n9 infection
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One Health ◽  
2021 ◽  
pp. 100312
Author(s):  
Xueli Wei ◽  
Liying Wang ◽  
Qiaojuan Jia ◽  
Jianpeng Xiao ◽  
Guanghu Zhu

2021 ◽  
Vol 11 ◽  
Author(s):  
Xiaotong Hu ◽  
Ya Zhao ◽  
Yong Yang ◽  
Wenxiao Gong ◽  
Xiaomei Sun ◽  
...  

Influenza virus infection can alter the composition of the gut microbiota, while its pathogenicity can, in turn, be highly influenced by the gut microbiota. However, the details underlying these associations remain to be determined. The H7N9 influenza virus is an emerging zoonotic pathogen which has caused the death of 616 humans and has incurred huge losses in the poultry industry. Here, we investigated the effects of infection with highly pathogenic H7N9 on gut microbiota and determined potential anti-influenza microbes. 16S rRNA sequencing results show that H7N9 infection alters the mouse gut microbiota by promoting the growth of Akkermansia, Ruminococcus 1, and Ruminococcaceae UCG-010, and reducing the abundance of Rikenellaceae RC9 gut group and Lachnoclostridium. Although the abundance of Akkermansia muciniphila is positively related to H7N9 infection, the oral administration of cultures, especially of pasteurized A. muciniphila, can significantly reduce weight loss and mortality caused by H7N9 infection in mice. Furthermore, oral administration of live or pasteurized A. muciniphila significantly reduces pulmonary viral titers and the levels IL-1β and IL-6 but enhances the levels of IFN-β, IFN-γ, and IL-10 in H7N9-infected mice, suggesting that the anti-influenza role of A. muciniphila is due to its anti-inflammatory and immunoregulatory properties. Taken together, we showed that the changes in the gut microbiota are associated with H7N9 infection and demonstrated the anti-influenza role of A. muciniphila, which enriches current knowledge about how specific gut bacterial strains protect against influenza infection and suggests a potential anti-influenza probiotic.


2021 ◽  
Author(s):  
Sandeep Chakraborty

n the last century, there have been four Influenza pandemics [1–4]. Influenza (commonly known as ”the flu”) has 4 types - out of which 3 (A/B/C) infect humans [5]. Influenza A and B genomes each have 8 negative- sense, single-stranded viral RNA segments (C has a 7-segment genome) [6]. It is possible to generate viruses with 9 segments [7,8] or even 10 segments [9]. Also, laboratory experiments show that it is possible to make airborne transmission between ferrets more viable [10]. Two of these segments - glycoproteins hemagglutinin (HA) and neuraminidase on the surface of the virus - are used to subtype the virus [11]. The ability of these segments to mix and match (termed reassortment, HxNx, currently there are 129 subtypes) creates a constantly mutating virus - making it difficult to devise an effective virus [12,13]. Also, the hemagglutinin gene causes aberrant coagulation leading to a hyper-inflammatory response [14].The eradication of human flu coincides with the global explosion of bird fluThe decreased influenza activity in 2020 in different countries [15] overlaps with the ‘emergence and spread of novel H5N8, H5N5 and H5N1’ highly pathogenic avian influenza in 2020, a cause for major concern across the globe [16].H5 - the major pandemic threat - is closely related to H1It has been known for long that H5N1 remains a pandemic threat [17,18]. The first outbreak of H5N1 in humans occurred in 1997 in Hong Kong, wherein infection was confirmed in 18 people, 6 of whom died [19] - as well as another fatal incident in a child [20]. In 2004, 8 out 10 infected died in Vietnam [21] - while 12 confirmed and 21 suspected cases were retrospectively identified in Thailand [22]. Small clusters were detected in 2005 in Indonesia [23]. H5 is closely related (Fig 1) to H1 (and H2) - and distantly to H3. Its is also notable that the C-Terminal of the hemagglutinin protein is quite conserved, inspite of major variations in the other parts (Fig 1). So, that part of the protein be very critical for viral infectivity (everything changes, but it does not), and thus might be a good target for drugs, or antibodies.H7N9 is another potential zoonotic threatIn 2013, 111 Cases of H7N9 infection was quite fatal (‘76.6% were admitted to an intensive care unit (ICU), and 27.0% died’) [24]. H7N9 samples were also collected from 25 March 2014 to 31 March 2016 at the First Affiliated Hospital, College of Medicine of Zhejiang University, Hangzhou, China [25]. Moderna has also started mRNA vaccine trials for H7N9 [26].Are flu tests missing out on the circulating strain?Biofire FilmArray (one of the few methods used to detect flu [27]) checks only 2 strains (H1N1/H3N2). There are huge variation in the flu genome (say between H1 and H3). Even within the same type there is a lot of vari- ation. For example, A/Perth/267/2009 (used in the Biofire) is only 74% similar to 7A/swine/China/Guangdong- ZSBS/2017 (Fig 2). It is known that a relatively smaller change breaks the SARS-Cov2 PCR test [28], so such variation can easily render the flu test inaccurate. Metagenomic studies will help identify the circulating strain - or rule out the hypothesis presented in this paper. If it is the flu, a specific therapy (like Tamiflu) may help bring down mortality - and flu shots can also be modified to reflect the circulating strain.H


2020 ◽  
Author(s):  
Liqiang Li ◽  
Jinmin Ma ◽  
Jiandong Li ◽  
Jianying Yuan ◽  
Wei Su ◽  
...  

The H7 subtype avian influenza viruses (AIV) have a much longer history and their adaptation through evolution pose continuous threat to humans 1. Since 2013 March, the novel reasserted H7N9 subtype have transmitted to humans through their repeated assertion in the poultry market. Through repeated transmission, H7N9 gradually became the second AIV subtype posing greater public health risk after H5N1 2,3. After infection, how the virus tunes its genome to adapt and evolve in humans remains unknown. Through direct amplification of H7N9 and high throughput (HT) sequencing of full genomes from the swabs and lower respiratory tract samples collected from infected patients in Shenzhen, China, we have analyzed the in vivo H7N9 mutations at the level of whole genomes and have compared with the genomes derived by in vitro cultures. These comparisons and frequency analysis against the H7N9 genomes in the public database, 40 amino acids were identified that play potential roles in virus adaptation during H7N9 infection in humans. Various synonymous mutations were also identified that might be crucial to H7N9 adaptation in humans. The mechanism of these mutations occurred in a single infection are discussed in this study.


Viruses ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 1396
Author(s):  
Xiaoli Hao ◽  
Shuai Li ◽  
Lina Chen ◽  
Maoli Dong ◽  
Jiongjiong Wang ◽  
...  

Avian influenza virus (AIV) emerged and has continued to re-emerge, continuously posing great threats to animal and human health. The detection of hemagglutination inhibition (HI) or virus neutralization antibodies (NA) is essential for assessing immune protection against AIV. However, the HI/NA-independent immune protection is constantly observed in vaccines’ development against H7N9 subtype AIV and other subtypes in chickens and mammals, necessitating the analysis of the cellular immune response. Here, we established a multi-parameter flow cytometry to examine the innate and adaptive cellular immune responses in chickens after intranasal infection with low pathogenicity H7N9 AIV. This assay allowed us to comprehensively define chicken macrophages, dendritic cells, and their MHC-II expression, NK cells, γδ T cells, B cells, and distinct T cell subsets in steady state and during infection. We found that NK cells and KUL01+ cells significantly increased after H7N9 infection, especially in the lung, and the KUL01+ cells upregulated MHC-II and CD11c expression. Additionally, the percentages and numbers of γδ T cells and CD8 T cells significantly increased and exhibited an activated phenotype with significant upregulation of CD25 expression in the lung but not in the spleen and blood. Furthermore, B cells showed increased in the lung but decreased in the blood and spleen in terms of the percentages or/and numbers, suggesting these cells may be recruited from the periphery after H7N9 infection. Our study firstly disclosed that H7N9 infection induced local and systemic cellular immune responses in chickens, the natural host of AIV, and that the flow cytometric assay developed in this study is useful for analyzing the cellular immune responses to AIVs and other avian infectious diseases and defining the correlates of immune protection.


2020 ◽  
Author(s):  
Ying Chen ◽  
Jian Cheng ◽  
Zhiwei Xu ◽  
Wenbiao Hu ◽  
Jiahai Lu

Abstract Background: Previous studies have proven that the closure of live poultry markets (LPMs) was an effective intervention to reduce human risk of avian influenza A (H7N9) infection, but evidence is limited on the impact of scale and duration of LPMs closure on the transmission of H7N9. Method: Five cities (i.e., Shanghai, Suzhou, Shenzhen, Guangzhou and Hangzhou) with the largest number of H7N9 cases in mainland China from 2013 to 2017 were selected in this study. Data on laboratory-confirmed H7N9 human cases in those five cities were obtained from the Chinese National Influenza Centre. The detailed information of LPMs closure (i.e., area and duration) was obtained from the Ministry of Agriculture. We used a generalized linear model with a Poisson link to estimate the effect of LPMs closure, reported as relative risk reduction (RRR). We used classification and regression trees (CARTs) model to select and quantify the dominant factor of H7N9 infection. Results: All five cities implemented the LPMs closure, and the risk of H7N9 infection decreased significantly after LPMs closure with RRR ranging from 0.80 to 0.93. Respectively, a long-term LPMs closure for 10-13 weeks elicited a sustained and highly significant risk reduction of H7N9 infection (RRR = 0.98). Short-time LPMs closure with 2 weeks in every epidemic did not reduce the risk of H7N9 infection (p>0.05). Partially closed LPMs in some suburbs contributed only 35% for reduction rate (RRR=0.35). Shenzhen implemented partial closure for first 3 epidemics (p>0.05) and all closure in the latest 2 epidemic waves (RRR=0.64). Conclusion: Our findings suggest that LPMs all closure in whole city can be a highly effective measure comparing with partial closure (i.e. only urban closure, suburb and rural remain open). Extend the duration of closure and consider permanently closing the LPMs will help improve the control effect. The effect of LPMs closure seems greater than that of meteorology on H7N9 transmission.


2020 ◽  
Author(s):  
Ying Chen ◽  
Jian Cheng ◽  
Zhiwei Xu ◽  
Wenbiao Hu ◽  
Jiahai Lu

Abstract Background Previous studies have proven that the closure of live poultry markets (LPMs) was an effective intervention to reduce human risk of avian influenza A (H7N9) infection, but evidence is limited on the impact of scale and duration of LPMs closure on the transmission of H7N9. Method Five cities (i.e., Shanghai, Suzhou, Shenzhen, Guangzhou and Hangzhou) with the largest number of H7N9 cases in mainland China from 2013-2017 were selected in this study. Data on laboratory-confirmed H7N9 human cases in those five cities were obtained from the Chinese National Influenza Centre. The detailed information of LPMs closure (i.e., area and duration) was obtained from the Ministry of Agriculture. We used a generalized linear model with a Poisson link to estimate the effect of LPMs closure, reported as relative risk reduction (RRR). We used classification and regression trees (CARTs) to select and quantify the dominant factor of H7N9 infection. Results All five cities implemented the LPMs closure, and the risk of H7N9 infection decreased significantly after LPMs closure with RRR ranging from 0.80-0.93. Respectively, a long-term LPMs closure for 10-13 weeks elicited a sustained and highly significant risk reduction of H7N9 infection (RRR = 0.98). Short-time LPMs closure with 2 weeks in every epidemic did not reduce the risk of H7N9 infection (p>0.05). Partially closed LPMs in some suburbs contributed only 35% for reduction rate (RRR=0.35). Shenzhen implemented partial closure for first 3 epidemics (p>0.05) and all closure in the latest 2 epidemic waves (RRR=0.64). Conclusion Our findings suggest that LPMs all closure in whole city can be a highly effective measure comparing with partial closure (i.e. only urban closure, suburb and country remain open). Extend the duration of closure and consider permanently closing the LPMs will help improve the control effect. The effect of LPMs closure is greater than that of meteorology on H7N9 transmission.


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